Systems and methods for congestion control on mobile edge networks

ABSTRACT

A network device receives, from a congestion controller, traffic policy information associated with a data stream between a sender and a receiver, where the traffic policy information includes a maximum round trip delay time (RTT) and a maximum throughput rate (Rate). The network device obtains a receiver advertised window size (RWND) for the receiver for the data stream. The network device modifies the RWND based on the RTT and the Rate to produce a modified receiver window size (RWND′) and sends the RWND′ to the sender for use in controlling congestion on the data stream between the sender and the receiver.

BACKGROUND

Next Generation mobile networks have been proposed as the next evolutionof mobile wireless networks, such as the existing 4G and 4.5G Long TermEvolution (LTE) mobile networks. Next Generation mobile networks, suchas Fifth Generation New Radio (5G NR) mobile networks, may operate inthe higher frequency ranges (e.g., in the Gigahertz frequency band) witha broad bandwidth about 500-1,000 Megahertz. The expected bandwidth ofNext Generation mobile networks is intended to support higher speeddownloads. The proposed 5G mobile telecommunications standard mayoperate in the millimeter wave bands (e.g., 14 Gigahertz (GHz) andhigher), and may support more reliable, massive machine communications(e.g., machine-to-machine (M2M), Internet of Things (IoT)). NextGeneration mobile networks, such as those implementing the 5G mobiletelecommunications standard, are expected to enable a higher utilizationcapacity than current wireless systems, permitting a greater density ofwireless users. Next Generation mobile networks are designed to increasedata transfer rates, increase spectral efficiency, improve coverage,improve capacity, and reduce latency.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 depicts an overview of active congestion control, applied at amobile edge network, of exemplary embodiments described herein;

FIG. 2 illustrates an exemplary network environment in which the activecongestion control techniques, described herein, are applied to controlcongestion on data streams transported between senders and receivers;

FIG. 3 is a diagram that depicts exemplary components of a device thatmay correspond to the edge routers and/or devices of FIG. 2;

FIG. 4 illustrates an exemplary packet header that may be associatedwith each packet sent between the sender and receiver of FIG. 1; and

FIGS. 5A and 5B are flow diagrams that illustrate an exemplary processfor modifying a receiver advertised window size (RWND) for use incongestion control for a data stream sent from a sender device to areceiver device.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

The following detailed description refers to the accompanying drawings.The same reference numbers in different drawings may identify the sameor similar elements. The following detailed description does not limitthe invention.

With the use of millimeter wave radio links, Next Generation Mobilenetworks (e.g., 5G or later mobile networks) can potentially provide ahigher link capacity than residential optical fiber connections. Thehigh capacity of millimeter wave radio links, however, also imposes newchallenges on transport layer protocols having congestion controlmechanisms, such as the Transmission Control Protocol (TCP). TCP usesthe bandwidth delay product (BDP) to maximize the link utilization ofdata links. BDP is the product of a data link's capacity and the link'sround-trip delay time (RTT) between a TCP sender and a TCP receiver. BDPrepresents a maximum amount of data transmitted over a link between theTCP sender and the TCP receiver without an acknowledgement. Therefore,Next Generation networks may transport large amounts of data over agiven radio link without acknowledgement. A large BDP can improve linkutilization, but a large amount of transported unacknowledged data canalso be detrimental to network performance. For example, a large amountof unacknowledged data being transported on the network can consume alarge amount of buffer space inside wireless access devices (e.g.,switches, eNodeBs, or gNodeBs) and can trigger “buffer bloat” withinthese devices. Also, a large amount of unacknowledged transported datacan trigger a high retransmission ratio when retransmission timeout(RTO) occurs. Increasing of the retransmission ratio reduces the goodputof the system, especially when congestion or buffer bloat occurs thatcauses a large number of packets to be dropped inside network devicesdue to lack of buffer space.

Active Queue Management (AQM) is one scheme that has been introduced torelieve transport congestion. AQM is a queue management scheme thatavoids high queuing delay when congestion occurs. When queue timesassociated with enqueued packets are longer than a given threshold time,an AQM queue controller drops the packets to relieve congestion.However, due to the design of TCP protocol, the packets dropped as aresult of AQM have to be retransmitted, possibly with up to threeretransmission attempts. The retransmission caused by AQM, thus, canmake congestion even more severe, especially when a large BDP is beingused.

Exemplary embodiments described herein implement an active congestioncontrol scheme that deals with the challenges of the large capacity ofNext Generation mobile networks, such as 5G mobile networks. Unlikeother congestion control schemes, the exemplary embodiments describedherein enable the sending device to reduce its packet sending ratewithout introducing packet dropping or without increasing the packetretransmission rate. As described herein, a congestion control agent,based on traffic shaping policy parameters provided by a centralcongestion controller, modifies a receiver's receiver advertised windowsize (RWND), in transmit to the sender, to prevent over-flooding of thereceiver's receive buffer subsequent to the modified receiver advertisedwindow size being received at the receiver. In one implementation, thecongestion control agent may be implemented at an edge router in themobile network such that packets on the data stream, TransmissionControl Protocol (TCP) Synchronization (SYN) packets, TCPSYN-acknowledgement (SYN-ACK) packets, and data stream ACKpackets/segments, sent between the sender and receiver, may all berouted and forwarded through the edge router.

FIG. 1 depicts an overview of active congestion control, applied at amobile edge network, of exemplary embodiments described herein thatenables a sender to reduce its data sending rate without increasing thepacket dropping rate or the packet retransmission rate. As shown, acongestion controller 100 provides traffic shaping policy parameters(identified with a number “1” within a circle) per flow of traffichandled by a network edge router 110. A data “flow” or “stream,” as usedinterchangeably herein, each refers to a sequence of packets sentbetween a particular sender and a particular receiver over a network fora particular session. The traffic shaping policy parameters per flowinclude a specified maximum round trip delay time (RTT) and a maximumrate (Rate) (i.e., throughput) for each particular flow. A congestioncontrol agent 120, executing in association with network edge router110, receives the traffic shaping policy parameters and extracts the RTTand the rate parameters.

A sender 130 subsequently sends a data stream (identified with a “2”within a circle) to a receiver 140 across a network (not shown), withthe data stream being transporting through network edge router 110 toreach receiver 140. Upon receipt of the packet(s) of the data stream,network edge router 110 routes and forwards the packet(s) of the datastream (identified with a “3” within a circle) towards the destinationreceiver 140. Upon receipt of the packet(s) of the data stream sent fromsender 130, receiver 140 returns an acknowledgement (ACK) message(identified with a “4” within a circle) that includes the receiver 140'sadvertised window size (RWND). The advertised window size RWNDidentifies receiver 140's currently available buffer size for bufferingincoming packets of the data stream.

Upon receipt of the ACK from receiver 140, congestion control agent 120extracts the RWND from the ACK message and modifies (identified with a“5” within a circle in FIG. 1) the window size based on the trafficshaping parameters (e.g., RTT, Rate) received from congestion controller100. In one exemplary implementation, congestion control agent 120 maygenerate a modified receiver window size RWND′ based on a minimum of theRWND, and a product of the RTT and Rate (i.e., throughput) values fromthe traffic shaping policy parameters received from congestioncontroller 100 for the flow/stream:RWND′=min(RWND, RTT*Rate)  Eqn. (1)Congestion control agent 120 replaces the original RWND in the ACKmessage with the modified RWND′ and forwards the ACK message (identifiedwith a “6” within a circle) to the sender 130.

Sender 130, after receipt of the ACK message with the modified RWND′subsequently sends packets in the data stream to receiver 140 based onthe modified RWND′. Sender 130 may, in some implementations, sendpackets in the data stream to the receiver 140 based further on a windowscaling factor (WSF). WSF is an option in TCP that permits the sender130 to increase the receive window size above a transport protocol'smaximum value (e.g., above 65,535 bytes for TCP). In one implementation,sender 130 may determine a send window size based on a minimum of themodified RWND′ and a congestion window size determined by the sender.The congestion window size (CWND) indicates a maximum amount of datathat the sender 130 can stream into the network before receiving an ACK.By using the modified RWND′ when congestion occurs, the congestioncontrol technique described herein decreases the sender's datatransmission rate on a given data stream while avoiding an increase in apacket dropping rate or a retransmission rate for the data stream.

Congestion controller 100 may change the traffic shaping policyparameters per flow (e.g., RTT and Rate) at any time during transport ofthe data stream between sender 130 and receiver 140. Therefore,congestion control agent 120, based on newly received traffic shapingpolicy parameters for the data stream/flow, may return a new modifiedRWND′ in a next ACK message, received from receiver 140 and destined forsender 130. Though FIG. 1 depicts a mobile device as receiver 140 andanother device as sender 130, the two endpoints engaged in a givensession may both act as senders and receivers. For example, if receiver140 streams data to sender 130, then the directions of the data stream(“2” and “3”) and the acknowledgement messages (“4” and “6”) would bereversed relative to that shown in FIG. 1.

FIG. 2 illustrates an exemplary network environment 200 in which theactive congestion control techniques described herein are applied tocontrol congestion on data streams transported between senders andreceivers. As shown, network environment 200 may include multipledevices 205-1 through 205-n (where n is greater than or equal to one), acongestion controller 100, an edge network 210, a data network (DN) 220,and a device 225.

Devices 205-1 through 205-n (referred to herein generically as “device205” or “devices 205” may each include any type of electronic devicehaving a wired or wireless network communication capability. Each of thedevices 205 may include, for example, a laptop, palmtop, desktop, ortablet computer; a personal digital assistant (PDA); a cellular phone(e.g., a “smart” phone); a Voice over Internet Protocol (VoIP) phone; asmart television (TV); an audio speaker (e.g., a “smart” speaker); avideo gaming device; a music player (e.g., a digital audio player); adigital camera; a set-top box (STB), or an IoT or M2M device. Arespective user (not shown) may carry, use, administer, and/or operateone or more of devices 205. Each of devices 205 may correspond to thereceiver 140 shown in FIG. 1. One or more of devices 205 may be a mobiledevice, such as a tablet computer or a smart phone, having wirelessnetwork communication capability.

Congestion controller 100 includes one or more network devices thatinterconnect with edge network 210 and/or DN 220. In one implementation,congestion controller 100 may be deployed in a Software Defined Network(SDN) environment inside a cloud computing environment. Congestioncontroller 100 may set traffic shaping policies for individual flows, orfor groups of flows. The traffic shaping policy that applies to eachparticular flow may include a desired maximum round trip delay time(RTT) and a maximum throughput (Rate). Congestion controller 100 maydetermine the traffic shaping policy (e.g., RTT and Rate) for each flow,or for a group of flows, based on parameters provided by a networkmanagement entity (not shown). For example, the network managemententity may specify a desired maximum RTT for a flow(s) that is designedto avoid triggering AQM packet dropping. As another example, the networkmanagement entity may specify a maximum Rate for a flow involving aparticular type of application to enable adequate data transfer (e.g., asufficient Quality of Service (QoS) for the particular application) forthe application but to also allocate sufficient available link bandwidthto other flows. The network management entity may use various differenttypes of RTT estimation and application detection techniques. Congestioncontroller 100 may store the obtained traffic shaping policy parametersfor the identified flows.

Edge network 210 may include one or more edge routers 110-1 through110-m (where m is greater than or equal to one) that route data streampackets to mobile devices 205 from DN 220, and from mobile devices 205to DN 220. In one implementation, edge network 210 may include, orconnect to, a core cloud that includes the core components of a wirelessnetwork (e.g., a 5G wireless network) that serves to provide wirelessaccess to devices 205. In another implementation, edge network 210 mayinclude an edge cloud that further includes one or more edge computingdata centers, and/or other edge devices, that enable the movement oftraffic from a core cloud (not shown, but connected between the edgecloud and DN 220) towards the edge of network environment 200 and closerto the destination devices 205. Instead of sending packets to the corecloud for processing, routing, and transport, the edge cloud includescomponents that handle the data closer to the destination mobiledevices, thereby reducing latency. In this implementation, edge network210 may include, for example, a Multi-Access Edge Computing (MEC)network.

As shown in FIG. 2, each of edge routers 110-1 through 110-m may beassociated with a respective one of congestion control agents 120-1through 120-m (generically referred to herein as “congestion controlagent 120” or “congestion control agents 120”). In some implementations,each congestion control agent 120 may be implemented in hardware and/orsoftware at each respective edge router 110. In other implementations,each congestion control agent 120 may be implemented as hardware and/orsoftware in a stand-alone device that is connected to a respective edgerouter 110. Congestion controller 100 may retrieve stored trafficshaping policy parameters for particular flows/streams and send theparameters to respective edge routers 110 involved in routing particularflows. For example, if edge router 110-1 is routing data_stream_1between a sender and a receiver, congestion controller 110 may sendtraffic shaping policy parameters for data_stream_1 to edge router 110-1for use by the congestion control agent 120-1 associated with edgerouter 110-1. Based on traffic shaping policy parameters received fromcongestion controller 100, each congestion control agent 120 may modifythe receiver advertised window size (RWND) for each flow, as describedin further detail below, to produce a modified receiver advertisedwindow size (RWND′) that may be returned to each flow's sending deviceand used by that sending device for controlling congestion on theparticular flow.

DN 220 may include any type of packet-switching network(s) that canconnect to edge network 210 for transporting data to and from nodes thatare external to edge network 210, such as device 225. DN 220 mayinclude, for example, the Internet, a local area network(s) (LAN), awide area network(s) (WAN), or a metropolitan area network (MAN).

Device 225 includes any type of electronic device having a wired and/orwireless network communication capability. Device 225 may include, forexample, a laptop, palmtop, desktop, or tablet computer; a servercomputer; a PDA; a cellular phone (e.g., a “smart” phone); a VoIP phone;a smart TV; an audio speaker (e.g., a “smart” speaker); a video gamingdevice; a music player (e.g., a digital audio player); a digital camera;a STB, or an IoT or M2M device. Though only a single device 225 is shownin FIG. 2, multiple devices 225 may connect to DN 220 for sending datastreams to, or receiving data streams from, devices 205. Device 225 maycorrespond to the sender 130 shown in FIG. 1.

The configuration of network components of network environment 200 shownin FIG. 2 is for illustrative purposes. Other configurations may beimplemented. Therefore, network environment 200 may include additional,fewer and/or different components that may be configured in a differentarrangement than that depicted in FIG. 2. For example, though a singlecongestion controller 100 is shown, multiple distributed congestioncontrollers 100 may connect to edge network 210 and/or DN 220 andoperate to control congestion over, for example, a particular portion ofedge network 210 (e.g., a different congestion controller 100 assignedto each different “network slice” of a Next Generation mobile network).

FIG. 3 is a diagram that depicts exemplary components of a device 300.Edge routers 110, devices 205, device 225, congestion controller 100,and congestion control agents 120 may each include the same, or similar,components as device 300, and may be arranged in a similar configurationas the device 300. Device 300 may include a bus 310, a processor 315, amain memory 320, a read only memory (ROM) 330, a storage device 340, aninput device 350, an output device 360, and a communication interface370. Bus 310 may include a path that permits communication among theother components of device 300.

Processor 315 may include one or more processors or microprocessorswhich may interpret and execute stored instructions associated with oneor more processes. Additionally, or alternatively, processor 315 mayinclude processing logic that implements the one or more processes. Forexample, processor 315 may include, but is not limited to, programmablelogic such as Field Programmable Gate Arrays (FPGAs) or accelerators.Processor 315 may include software, hardware, or a combination ofsoftware and hardware for executing the processes described herein.

Main memory 320 may include a random access memory (RAM) or another typeof dynamic storage device that may store information and, in someimplementations, instructions for execution by processor 315. ROM 330may include a ROM device or another type of static storage device (e.g.,Electrically Erasable Programmable ROM (EEPROM)) that may store staticinformation and, in some implementations, instructions for use byprocessor 315. Storage device 340 may include a magnetic, optical,and/or solid state (e.g., flash drive) recording medium and itscorresponding drive. Main memory 320, ROM 330 and storage device 340 mayeach be referred to herein as a “non-transitory computer-readablemedium” or a “non-transitory storage medium.” The processes/methods setforth herein can be implemented as instructions that are stored in mainmemory 320, ROM 330 and/or storage device 340 for execution by processor315.

Input device 350 may include one or more devices that permit an operatorto input information to device 300, such as, for example, a keypad or akeyboard, a display with a touch sensitive panel, voice recognitionand/or biometric mechanisms, etc. Output device 360 may include one ormore devices that output information to the operator, including adisplay, a speaker, etc. Input device 350 and output device 360 may, insome implementations, be implemented as a user interface (UI), such as atouch screen display, that displays UI information, and which receivesuser input via the UI. Communication interface 370 may include one ormore transceivers that enable device 300 to communicate with otherdevices and/or systems. For example, communication interface 370 mayinclude a wireless transceiver for communicating via edge network 210via a wireless link. As another example, communication interface 370 mayinclude a wired transceiver for communicating with edge network 210 viaa wired link.

Device 300 may perform certain operations or processes, as may bedescribed herein. Device 300 may perform these operations in response toprocessor 315 executing software instructions contained in acomputer-readable medium, such as memory 430. A computer-readable mediummay be defined as a physical or logical memory device. A logical memorydevice may include memory space within a single physical memory deviceor spread across multiple physical memory devices. The softwareinstructions may be read into main memory 320 from anothercomputer-readable medium, such as storage device 340, or from anotherdevice via communication interface 370. The software instructionscontained in main memory 320 may cause processor 315 to perform theoperations or processes, as described herein. Alternatively, hardwiredcircuitry (e.g., logic hardware) may be used in place of, or incombination with, software instructions to implement the operations orprocesses, as described herein. Thus, exemplary implementations are notlimited to any specific combination of hardware circuitry and software.

The configuration of components of device 300 illustrated in FIG. 3 isfor illustrative purposes only. Other configurations may be implemented.Therefore, device 300 may include additional, fewer and/or differentcomponents, arranged in a different configuration, than depicted in FIG.3.

FIG. 4 illustrates an exemplary packet header 400 that may be associatedwith each packet/segment sent between a sender 130 and a receiver 140.Packet header 400 may be associated with an ACK packet, a SYN packet, aSYN-ACK packet, or other types of packets sent between a sender 130 anda receiver 140. Packet header 400 may include a source port number field405, a destination port number field 410, a sequence number field 415,an acknowledgement number field 420, a window size field 425, and otherheader data 430. In an implementation in which TCP is being used fortransporting data streams/flows between a sender 130 and a receiver 140,packet header 400 may be associated with a TCP segment.

Source port number field 405 stores a number that identifies the sourceport of the sender 130 sending the packet. Destination port number field410 stores a number that identifies the destination port of the receiver140 destined to receive the packet. Sequence number field 415 stores anumber that identifies the packet sequence number of the current packetin a data stream/flow between the sender 130 and receiver 140 for acurrent session. Acknowledgement number field 420 stores a next sequencenumber that the sender of the acknowledgement is expecting. Window sizefield 425 stores data that specifies the size of the receiver advertisedwindow that further indicates the amount of data that the sender of thepacket is currently willing to receive on a given data stream/flow for acurrent session. Other header data 430 stores other types of header datathat are not further described herein (e.g., flags, checksum, etc.).

Packet header 400 may include additional fields, or fields storing othertypes of data, that are not shown in FIG. 4 for purposes of simplicity.Furthermore, packet header 400 may, in some implementations, include oneor more different fields than those shown in FIG. 4.

FIGS. 5A and 5B are flow diagrams that illustrate an exemplary processfor modifying a receiver advertised window size RWND for use incongestion control for a data stream sent from a sender device to areceiver device. The exemplary process of FIGS. 5A and 5B may beimplemented by a congestion control agent 120, an edge router 110, asender 130, and a receiver 140.

The exemplary process includes congestion control agent 120 receiving aflow identifier (ID), a maximum RTT value, and a maximum Rate value fora flow_x from congestion controller 100 (block 500). Congestioncontroller 100 may send traffic shaping policy parameters to acongestion control agent 120 through which a given flow (flow_x) isbeing routed between a sender 130 and a receiver 140. In certaincircumstances, the traffic shaping policy parameters may include themaximum RTT value and the maximum Rate value for a particular flow(flow_x). In other circumstances, the traffic shaping policy parametersmay apply to a group of flows, such as all flows associated with theexecution of a particular type of application at different senders 130.

Congestion control agent 120 receives a SYN or SYN-ACK message forflow_x and extracts a WSF from the message (block 505). If the transportprotocol used for transporting a data stream between sender 130 andreceiver 140 is TCP, then sender 130 may establish a connection withreceiver 140 by sending a TCP SYN message to receiver 140. Receiver 140accepts the connection request with a SYN-ACK message. A WSF value maybe specified in either, or both, of the SYN or SYN-ACK messages.Therefore, either the sender 130 or the receiver 140 may specify a WSFto be used during transmission of packets on the data stream between thesender 130 and the receiver 140. Edge router 110, which resides on theedge of network 210 and receives packets on data streams from sender 130to receiver 140, and packets on data streams from receiver 140 to sender130, receives either of the SYN or SYN-ACK messages and forwards themessage to the congestion control agent 120 for extraction of the WSF.Congestion control agent 120 stores the received flow ID, RTT, Rate, andWSF for flow_x in memory (block 510). Congestion control agent 120 mayuse the flow ID as a key value for storing and retrieving the receivedRTT, Rate and WSF from memory. In one implementation, the flow ID mayinclude the receiver Internet Protocol (IP) address, the receiver portnumber, the sender IP address, and the receiver port number for the dataflow being sent between the sender and the receiver. The memory mayinclude local memory at the edge router 110, remote memory accessed vianetwork 210 or network 220, or local memory in a stand-alone device thatis connected to the edge router 110.

Edge router 110 receives data for flow_x destined for the receiver fromthe sender (block 515) and routes and forwards data for flow_x towardsthe destination receiver (block 520). Sender 130 (e.g., device 225)sends packets for a data stream that are destined for receiver 140(e.g., device 205-1). The packets may be routed across DN 220 and edgenetwork 210 to reach an edge router 110 that resides on an edge ofnetwork 210. Edge router 110 routes and forwards the packets for thedata stream to the destination receiver 140 (e.g., device 205-1).

Congestion control agent 120 receives an ACK message for flow_x from thereceiver, destined for the sender, and extracts the RWND (block 525).Upon receipt of the packets for the data stream/flow, receiver 140returns an ACK message acknowledging receipt of the packets. Thereceiver 140 additionally determines a current available buffer size,sets the receiver advertised window size RWND based on the availablebuffer size, and inserts the RWND value into window size field 425 ofthe ACK message header 400.

Congestion control agent 120 determines a modified receiver advertisedwindow size (RWND′) for flow_x using, for example, Eqn. (1) (block 530).Congestion control agent 120 determines a product of the RTT and Ratevalues received from congestion controller 100 and compares the productto the RWND value. Congestion control agent 120 sets RWND′ equal to avalue of which one of RWND, or the product RTT*Rate, that has a least,or minimum, value.

Congestion control agent 120 retrieves the WSF for flow_x from memory(block 535). Congestion control agent 120 then rewrites RWND′ for flow_xbased on the retrieved WSF, inserts RWND′ into the received ACK message,and forwards the ACK message to the sender (block 540). Congestioncontrol agent 120 uses the flow ID for flow_x to perform a key valuesearch of memory to retrieve the flow's WSF. In one implementation,congestion control agent 120 may rewrite RWND′ as RWND′/WSF. Thus, theRWND′ value determined in block 530 may be divided by the WSF todetermine the RWND′ value to be inserted into the window size field 425of the header 400 of the ACK message.

Sender 130 receives the ACK message for flow_x and extracts RWND' (block545), and continues sending data of flow_x to the receiver 140, with theunacknowledged data amount equal to the minimum of RWND′ and the sender130's congestion window size (block 550). Sender 130 sends a sequence ofpackets on the data stream/flow having a data size equal to the minimumof the received modified RWND′ and the sender 130's congestion windowsize, and then waits on receipt of an ACK message for the sequence ofpackets before either retransmitting the sequence of packets (i.e., ifno ACK message is received), or transmitting a next sequence of packetson the data stream/flow (i.e., if an ACK message for the previoussequence of packets is received).

Congestion control agent 120 determines if it has received an updatedRTT, Rate, and/or WSF for flow_x (block 555). If not (NO—block 555),then the exemplary process returns to block 515 in FIG. 5A with thecontinued receipt and routing of packets for flow _x destined for thereceiver. If congestion control agent 120 has received an updated RTT,Rate, and/or WSF (YES—block 555), then congestion control agent 120stores the flow ID, the RTT, the Rate, and the WSF for flow_x in memory(block 560), and the exemplary process returns to block 515 in FIG. 5Awith the exemplary process using any updated RTT, Rate, or WSF insubsequent determinations of modified RWND′. Congestion control agent120 may receive updated traffic shaping policy parameters fromcongestion controller 100 that may, for example, include an updated RTTvalue and/or an updated Rate. Congestion controller 100 may provideupdated traffic shaping policy parameters periodically, or upon anoccurrence of one or more events or conditions. For example, ifperformance of the network degrades due to network node failures, or dueto excessive data traffic, then congestion controller 100 may decreasethe maximum Rate for one or more streams/flows.

The foregoing description of implementations provides illustration anddescription, but is not intended to be exhaustive or to limit theinvention to the precise form disclosed. Modifications and variationsare possible in light of the above teachings or may be acquired frompractice of the invention. For example, while series of blocks have beendescribed with respect to FIGS. 5A and 5B and a sequence of operations,messages, and data flows with respect to FIG. 1, the order of the blocksand/or the operations, messages, and data flows may be varied in otherimplementations. Moreover, non-dependent blocks may be performed inparallel.

Certain features described above may be implemented as “logic” or a“unit” that performs one or more functions. This logic or unit mayinclude hardware, such as one or more processors, microprocessors,application specific integrated circuits, or field programmable gatearrays, software, or a combination of hardware and software.

No element, act, or instruction used in the description of the presentapplication should be construed as critical or essential to theinvention unless explicitly described as such. Also, as used herein, thearticle “a” is intended to include one or more items. Further, thephrase “based on” is intended to mean “based, at least in part, on”unless explicitly stated otherwise.

All structural and functional equivalents to the elements of the variousaspects set forth in this disclosure that are known or later come to beknown to those of ordinary skill in the art are expressly incorporatedherein by reference and are intended to be encompassed by the claims.

In the preceding specification, various preferred embodiments have beendescribed with reference to the accompanying drawings. It will, however,be evident that various modifications and changes may be made thereto,and additional embodiments may be implemented, without departing fromthe broader scope of the invention as set forth in the claims thatfollow. The specification and drawings are accordingly to be regarded inan illustrative rather than restrictive sense.

What is claimed is:
 1. A method, comprising: receiving, by a networkdevice from a congestion controller, traffic policy informationassociated with a data stream, between a sender and a receiver,associated with an execution of a first type of application at thesender, wherein the sender and receiver are respective endpoints engagedin a network session and wherein the traffic policy information includesa maximum round trip delay time (RTT) and a maximum throughput rate(Rate) determined from a plurality of data streams generated byexecuting the first type of application at a plurality of senders thatare endpoints engaged in other network sessions; obtaining, by thenetwork device, a receiver advertised window size (RWND) for thereceiver for the data stream; modifying, by the network device, the RWNDbased on the RTT and the Rate to produce a modified receiver window size(RWND′); and sending, from the network device, the RWND′ to the senderfor use in controlling congestion on the data stream between the senderand the receiver during the network session.
 2. The method of claim 1,further comprising: receiving, by the network device from the sender,data on the data stream that is destined for the receiver; andforwarding, by the network device, the data to the receiver.
 3. Themethod of claim 1, wherein obtaining the RWND comprises: receiving, bythe network device, an acknowledgement message from the receiver thatacknowledges receiving the data on the data stream from the sender; andretrieving, by the network device, the RWND from the acknowledgementmessage.
 4. The method of claim 3, wherein sending the RWND′ comprises:replacing the RWND in the acknowledgement message with the RWND′; andforwarding the acknowledgment message with the RWND′ to the sender. 5.The method of claim 1, wherein modifying the RWND comprises: determininga product of the RTT and the Rate; determining a minimum value betweenthe RWND and the product; and setting the RWND′ equal to the determinedminimum value.
 6. The method of claim 1, wherein the network devicecomprises a network edge router.
 7. The method of claim 1, furthercomprising: receiving, by the network device, a synchronization (SYN)message or SYN-acknowledgement (SYN-ACK) message for the data stream;and extracting, by the network device, a window scaling factor (WSF) forthe data stream, wherein modifying the RWND is further based on the WSF.8. A network device, comprising: at least one communication interfaceto: receive, from a congestion controller, traffic policy informationassociated with a data stream, between a sender and a receiver,associated with an execution of a first type of application at thesender, wherein the sender and receiver are respective endpoints engagedin a network session and wherein the traffic policy information includesa maximum round trip delay time (RTT) and a maximum throughput rate(Rate) determined from a plurality of data streams generated byexecuting the first type of application at a plurality of senders thatare endpoints engaged in respective network sessions; a memory to storethe RTT and the Rate; and a processor or logic to: obtain a receiveradvertised window size (RWND) for the receiver for the data stream,modify the RWND based on the RTT and the Rate to produce a modifiedreceiver window size (RWND′), and send, via the at least onecommunication interface, the RWND′ to the sender for use in controllingcongestion on the data stream between the sender and the receiver duringthe network session.
 9. The network device of claim 8, wherein the atleast one communication interface is further to: receive, from thesender, data on the data stream that is destined for the receiver, andforward the data towards the receiver.
 10. The network device of claim8, wherein, when obtaining the RWND, the processor or logic is furtherto: receive, via the at least one communication interface, anacknowledgement message from the receiver that acknowledges receivingthe data on the data stream from the sender; and retrieve the RWND fromthe acknowledgement message.
 11. The network device of claim 10,wherein, when sending the RWND′, the processor or logic is further to:replace the RWND in the acknowledgement message with the RWND′, andforward the acknowledgment message with the RWND′ towards the sender.12. The network device of claim 8, wherein, when modifying the RWND, theprocessor or logic is further to: determine a product of the RTT and theRate, determine a minimum value between the RWND and the product, andset RWND′ equal to the determined minimum value.
 13. The network deviceof claim 8, wherein the network device comprises a network edge router.14. The network device of claim 8, wherein the processor or logic isfurther to: receive, via the at least one communication interface, asynchronization (SYN) message or SYN-acknowledgement (SYN-ACK) messagefor the data stream; and extract a window scaling factor (WSF) for thedata stream, wherein modifying the RWND is further based on the WSF. 15.A non-transitory storage medium storing instructions executable by anetwork device, wherein the instructions comprise instructions to causethe network device to: receive, from a congestion controller, trafficpolicy information associated with a data stream, between a sender and areceiver, associated with an execution of a first type of application atthe sender, wherein the sender and receiver are respective endpointsengaged in a network session and wherein the traffic policy informationincludes a maximum round trip delay time (RTT) and a maximum throughputrate (Rate) determined from a plurality of data streams generated byexecuting the first type of application at a plurality of senders thatare endpoints engaged in respective network sessions; obtain a receiveradvertised window size (RWND) for the receiver for the data stream;modify the RWND based on the RTT and the Rate to produce a modifiedreceiver window size (RWND′); and send, to the sender, the RWND′ for usein controlling congestion on the data stream between the sender and thereceiver during the network session.
 16. The non-transitory storagemedium of claim 15, wherein the instructions to cause the network deviceto obtain the RWND further comprise instructions to cause the networkdevice to: receive an acknowledgement message from the receiver thatacknowledges receiving the data on the data stream from the sender; andretrieve the RWND from the acknowledgement message.
 17. Thenon-transitory storage medium of claim 16, wherein the instructions tocause the network device to send the RWND′ further comprise instructionsto cause the network device to: replace the RWND in the acknowledgementmessage with the RWND′; and forward the acknowledgment message with theRWND′ towards the sender.
 18. The non-transitory storage medium of claim15, wherein the instructions to cause the network device to modify theRWND further comprises instructions to cause the network device to:determine a product of the RTT and the Rate; determine a minimum valuebetween the RWND and the product; and set the RWND′ equal to thedetermined minimum value.
 19. The non-transitory storage medium of claim15, wherein the network device comprises a network edge router.
 20. Thenon-transitory storage medium of claim 15, wherein the instructionscomprise instructions to cause the network device to: receive asynchronization (SYN) message or SYN-acknowledgement (SYN-ACK) messagefor the data stream; and extract a window scaling factor (WSF) for thedata stream, wherein the modifying the RWND is further based on the WSF.